from typing import Dict, Any
import cv2
import numpy as np
from app.utils.logger import get_logger

logger = get_logger(__name__)


# 文本图像矫正模块

class ImageCorrectionModule:
    _instance = None
    _initialized = False

    def __new__(cls):
        if cls._instance is None:
            cls._instance = super(ImageCorrectionModule, cls).__new__(cls)
        return cls._instance

    def __init__(self):
        if not self._initialized:
            logger.info("Initializing ImageCorrectionModule")
            self._initialized = True

    def correct(self, image_data: bytes) -> Dict[str, Any]:
        """
        矫正图像

        Args:
            image_data: 图像字节数据

        Returns:
            矫正结果
        """
        try:
            # 将字节数据转换为OpenCV图像
            nparr = np.frombuffer(image_data, np.uint8)
            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)

            # 执行图像矫正操作
            corrected_img = self._perform_correction(img)

            # 将矫正后的图像转换回字节数据
            _, buffer = cv2.imencode('.jpg', corrected_img)
            corrected_image_data = buffer.tobytes()

            return {
                "corrected_image": corrected_image_data,
                "applied_correction": "perspective_transform",
                "confidence": 0.92
            }

        except Exception as e:
            raise RuntimeError(f"Image correction failed: {str(e)}")

    def _perform_correction(self, img):
        """执行图像矫正"""
        # 模拟图像矫正过程
        # 实际应用中可能包括透视变换、旋转等操作
        return img
